On the Application of GIS-based Decision Support Systems to study climate change impacts on coastal systems and associated ecosystems

One of the most remarkable achievements by scientists in the field of global change in recent years is the improvedunderstanding of climate change issues. Its effects on human environments, particularly coastal zones and associated watersystems, are now a huge challenge to environmental resource managers and decision makers. International and regionalregulatory frameworks have been established to guide the implementation of interdisciplinary methodologies, useful toanalyse water-related systems issues and support the definition of management strategies against the effects of climatechange. As a response to these concerns, several decision support systems (DSS) have been developed and applied toaddress climate change through geographical information systems (GIS) and multi-criteria decision analysis (MCDA)techniques; linking the DSS objectives with specific functionalities leading to key outcomes, and aspects of the decisionmaking process involving coastal and waters resources. An analysis of existing DSS focusing on climate change impacts oncoastal and related ecosystems was conducted by surveying the open literature. Consequently, twenty DSS were identifiedand are comparatively discussed according to their specific objectives and functionalities, including a set of criteria (generaltechnical, specific technical and applicability) in order to better inform potential users and concerned stakeholders throughthe evaluation of a DSS’ actual application.Key words: Climate change, Decision support, GIS, regulations, Environmen

Chapter Inventory of GIS-Based Decision Support Systems Addressing Climate Change Impacts on Coastal Waters and Related Inland Watersheds

Cosmology & the univers

Inventory of GIS-Based Decision Support Systems Addressing Climate Change Impacts on Coastal Waters and Related Inland Watersheds

A Decision Support System (DSS) is a computer-based software that can assist decision makers in their decision process, supporting rather than replacing their judgment and, at length, improving effectiveness over efficiency. Environmental DSS are models based tools that cope with environmental issues and support decision makers in the sustainable management of natural resources and in the definition of possible adaptation and mitigation measures [2]. DSS have been developed and used to address complex decision-based problems in varying fields of research. For instance, in environmental resource management, DSS are generally classified into two main categories: Spatial Decision Support Systems (SDSS) and Environmental Decision Supports Systems (EDSS) [3-5]. SDSS provide the necessary platform for decision makers to analyse geographical information in a flexible manner, while EDSS integrate the relevant environmental models, database and assessment tools – coupled within a Graphic User Interface (GUI) – for functionality within a Geographical Information System (GIS) [1,4-6]. In some detail, GIS is a set of computer tools that can capture, manipulate, process and display spatial or geo-referenced data in which the enhancement of spatial data integration, analysis and visualization can be conducted [8-9]. These functionalities make GIS-tools useful for efficient development and effective implementation of DSS within the management process. For this purpose they are used either as data managers (i.e. as a spatial geo-database tool) or as an end in itself (i.e. media to communicate information to decision makers)

The Science–Policy Interface for Climate Change Adaptation: the Contribution of Communities of Practice Theory

Climate change adaptation demands a successful science–policy interface that can enhance the translation of climate scenarios to adaptation policies. However, experience shows it is difficult to implement this interface in practice, particularly at the regional/local scale. This paper considers the communities of practice theory in a new way, by examining two model cases to highlight areas of potential opportunities and contentions with the theory, and to understand how a successful science–policy interface in climate change adaptation projects could be envisioned as a community of practice. The assumption is that the social contexts in which these projects often exist could be established by the concepts of ‘communities of practice’, which defines activities in a social and historical context that gives structure to the engagement of participants. We compiled cases from open-ended survey and interactive research experience and observation, and inductively reflected on these vis-à-vis communities of practice. The model cases revealed challenges as well as potential opportunities for communities of practice, in that they exist within a middle space (social context) that could facilitate personal and professional relationship, promote formal and informal interactions, and are needed to negotiate different expertise and narrow apparent boundaries. We conclude that vigorous and dynamic communities of practice promise to nurture the social context in which participants in adaptation projects are potentially engaged, and thus provide a provisional support to the science–policy interface

Regional Risk Assessment for climate change impacts on coastal aquifers

Coastal aquifers have been identified as particularly vulnerable to impacts on water quantity and quality due to the high density of socio-economic activities and human assets in coastal regions and to the projected rising sea levels, contributing to the process of saltwater intrusion. This paper proposes a Regional Risk Assessment (RRA) methodology integrated with a chain of numerical models to evaluate potential climate change-related impacts on coastal aquifers and linked natural and human systems (i.e., wells, river, agricultural areas, lakes, forests and semi-natural environments). The RRA methodology employs Multi Criteria Decision Analysis methods and Geographic Information Systems functionalities to integrate heterogeneous spatial data on hazard, susceptibility and risk for saltwater intrusion and groundwater level variation. The proposed approach was applied on the Esino River basin (Italy) using future climate hazard scenarios based on a chain of climate, hydrological, hydraulic and groundwater system models running at different spatial scales. Models were forced with the IPCC SRES A1B emission scenario for the period 2071–2100 over four seasons (i.e., winter, spring, summer and autumn). Results indicate that in future seasons, climate change will cause few impacts on the lower Esino River valley. Groundwater level decrease will have limited effects: agricultural areas, forests and semi-natural environments will be at risk only in a region close to the coastline which covers less than 5% of the total surface of the considered receptors; less than 3.5% of the wells will be exposed in the worst scenario. Saltwater intrusion impact in future scenarios will be restricted to a narrow region close to the coastline (only few hundred meters), and thus it is expected to have very limited effects on the Esino coastal aquifer with no consequences on the considered natural and human systems.Coastal aquifers have been identified as particularly vulnerable to impacts on water quantity and quality due to the high density of socio-economic activities and human assets in coastal regions and to the projected rising sea levels, contributing to the process of saltwater intrusion. This paper proposes a Regional Risk Assessment (RRA) methodology integrated with a chain of numerical models to evaluate potential climate change-related impacts on coastal aquifers and linked natural and human systems (i.e., wells, river, agricultural areas, lakes, forests and semi-natural environments). The RRA methodology employs Multi Criteria Decision Analysis methods and Geographic Information Systems functionalities to integrate heterogeneous spatial data on hazard, susceptibility and risk for saltwater intrusion and groundwater level variation.The proposed approach was applied on the Esino River basin (Italy) using future climate hazard scenarios based on a chain of climate, hydrological, hydraulic and groundwater system models running at different spatial scales. Models were forced with the IPCC SRES A1B emission scenario for the period 2071-2100 over four seasons (i.e., winter, spring, summer and autumn).Results indicate that in future seasons, climate change will cause few impacts on the lower Esino River valley. Groundwater level decrease will have limited effects: agricultural areas, forests and semi-natural environments will be at risk only in a region close to the coastline which covers less than 5% of the total surface of the considered receptors; less than 3.5% of the wells will be exposed in the worst scenario. Saltwater intrusion impact in future scenarios will be restricted to a narrow region close to the coastline (only few hundred meters), and thus it is expected to have very limited effects on the Esino coastal aquifer with no consequences on the considered natural and human systems. (C) 2015 Elsevier B.V. All rights reserved

Critical barriers to environmental management system implementation in the Nigerian construction industry

This is an accepted manuscript of an article published by Springer in Environmental Management, available online: https://doi.org/10.1007/s00267-021-01473-y The accepted version of the publication may differ from the final published version.The impact of different hazardous substances of the construction industry being released to the environment is alarming. This constitutes an adverse effect on the quality of life of construction workers and the populace at large. To reduce this menace, Environmental Management System (EMS) was put in place. Meanwhile, the implementation of EMS in the Nigerian construction industry (NCI) is not certain. This study, therefore, investigated the barriers to EMS implementation in the NCI to group them into a smaller form, i.e., fewer numbers. A questionnaire survey was developed and administered to construction professionals in Nigeria using a purposive sampling technique. The retrieved 106 copies of the questionnaires were subjected to both descriptive and inferential statistics such as mean score, standard deviation, analysis of variance test, post hoc test and exploratory factor analysis. An exploratory factor analysis was conducted three times to identify the critical barriers to EMS implementation in the NCI. The study findings reveal three main categories of barriers affecting EMS implementation, namely; (1) knowledge barrier; (2) process barrier; and (3) culture and management barrier. The study concluded that the three factors indicate the major cardinal barriers that could describe the impediment of EMS in the NCI. It was recommended that the training of construction professionals is important to enhance improvement culture in the NCI